---
name: applied-domains
description: "Applied Domains: 9 concepts, no maths assumed."
version: 1.0.0
author: Learn AI
license: CC-BY-4.0
metadata:
  hermes:
    tags: [Applied, Domains]
    related_skills: [data-engineering-and-analytics, deep-learning, llms-and-generative-ai, machine-learning, mathematical-foundations, software-engineering]
    source: https://basavapurushottam.com/learn-ai
---
# Applied Domains

9 concepts, written for an adult with no computer science and no mathematics past school arithmetic. Each concept is a file under `references/`; load one when it is the thing being asked about rather than reading the whole domain.


## When to Use

- The reader asks about applied domains and wants it explained from the ground up rather than summarised.

- A term below comes up and you want the plain-language account of it, with a worked example.

- You need to know what a concept rests on before teaching it — every reference lists its prerequisites.


## When NOT to Use

- The reader wants current events, papers or library documentation. This is a curriculum, not a news source, and it does not update itself.

- The reader wants code they can ship. Examples here are written to be understood, not deployed.


## How to Run

Open the file listed beside a concept in Quick Reference below. The files live in the `references` directory, are plain Markdown with no front matter and no dependencies — read the one you want and ignore the rest.


## Quick Reference


### AI in Finance

- `references/backtesting-llm-strategies.md` — **Backtesting LLM Strategies**: Evaluating model-driven financial strategies against historical data, under strict cont…
- `references/balance-sheets.md` — **Balance Sheets**: The statement of assets, liabilities and equity at a point in time — the structural sna…
- `references/cash-flow-management.md` — **Cash Flow Management**: Managing the timing of money in and out, which determines survival independently of rep…
- `references/earnings-call-analysis.md` — **Earnings Call Analysis**: Extracting signal from earnings call transcripts — guidance, tone, evasion and deviatio…
- `references/finbert-and-bloomberggpt.md` — **FinBERT and BloombergGPT**: Domain-specific financial language models, trained or adapted on financial text where g…
- `references/financial-numerical-reasoning.md` — **Financial Numerical Reasoning**: Performing calculation and quantitative reasoning over financial documents, where langu…
- `references/financial-sentiment.md` — **Financial Sentiment**: Classifying sentiment in financial text, where domain conventions differ sharply from g…
- `references/market-risk.md` — **Market Risk**: The risk of loss from movements in prices, rates, spreads, currencies or volatility.

### Biomedical Data Science

- `references/dna-sequencing-analysis.md` — **DNA Sequencing Analysis**: Computational processing of genomic sequence data — alignment, variant calling and down…


## Pitfalls

- The concepts are ordered by what rests on what, not by difficulty. A later concept is not always harder; it is later because something else has to come first.

- Explanations avoid notation the reader has not met. If you reintroduce standard symbols, say what they mean, or you undo the thing this curriculum is for.


## Verification

`ls references/ | wc -l` should print 9.


---

From [Learn AI](https://basavapurushottam.com/learn-ai). Prose is licensed CC BY 4.0.
